5:57 PM
6:39 PM
1 hour later…
8:06 PM
@liggiorgio Here's a presentation I gave a couple months ago for my master's. Currently dialing it in to a more concrete written proposal.
One of my colleagues is investigating using generative language models for NPC dialogue interactions.
Those being
- Long term dynamics (progression models etc)
- Deep player type differentiation
- Complex content generation, selection, adaptation
- Long term dynamics (progression models etc)
- Deep player type differentiation
- Complex content generation, selection, adaptation
The first area is things like, can you somehow take a description of a game's rules, and generate a spreadsheet of the player's (likely / range of) progression/earnings/etc. over time? I do this manually, but are there tools that could make it faster?
Right now I'm starting to read more about the domain of novelty search, which seems like it could have significant applications to game development, both in choices of mechanics and design of levels / challenges.
Another area I contemplated was trying to improve the experience of learning game development. For instance, the system we use here on GDSE is not very beginner-friendly, and the kinds of tutorials you find when searching as a newbie are not very helpful. Could we design a new site/service/approach that better supports new learners in their first steps?
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